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Created by Enthernet Code on 6/24/2024 in #middleware-and-os
How do I optimize memory usage for a neural network running on an ARM Cortex-M4 using CMSIS-NN?
@Middleware & OS How do I optimize memory usage for a neural network running on an ARM Cortex-M4 using CMSIS-NN? My current model runs out of memory. Here's my code: 
#include "arm_nnfunctions.h"

void run_nn(const q7_t* input_data) {
  q7_t intermediate_buffer[INTERMEDIATE_SIZE];
  q7_t output_data[OUTPUT_SIZE];
  // Run the network layers
  arm_convolve_HWC_q7_basic(input_data, CONV1_WEIGHT, CONV1_BIAS, intermediate_buffer
#include "arm_nnfunctions.h"

void run_nn(const q7_t* input_data) {
  q7_t intermediate_buffer[INTERMEDIATE_SIZE];
  q7_t output_data[OUTPUT_SIZE];
  // Run the network layers
  arm_convolve_HWC_q7_basic(input_data, CONV1_WEIGHT, CONV1_BIAS, intermediate_buffer
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